Separate columns from a dataset

Question

I need to separate in a list the column types of a dataset in numerical and non-numerical.

For example:

def identifica_tipos(df):
    col_numerica = []
    for col in df.columns:
        if col.isnumeric:
            col_numerica.append(col)

But this function that I created does not separate the data, someone has some suggestion of functions that can do this ??

Answer 1

Maybe so?

import numpy as np

new_df = df.select_dtypes(include=np.number)